Modified Box-Jenkins and GARCH for forecasting highly volatile time series data
The Box-Jenkins model has widely been used either as the forecasting, benchmarking or as the integrated model in the current research of time series. The Box-Jenkins modelling is one of the most powerful forecasting techniques available in research practice of the time series analysis. Most of the t...
| Auteur principal: | Siti Roslindar, Yaziz |
|---|---|
| Format: | Thèse |
| Langue: | anglais |
| Publié: |
2019
|
| Sujets: | |
| Accès en ligne: | http://umpir.ump.edu.my/id/eprint/29284/1/Modified%20box-jenkins%20and%20garch%20for%20forecasting%20highly%20volatile%20time%20series%20data.wm.pdf |
Documents similaires
SWGARCH : an enhanced GARCH model for time series forecasting
par: Shbier, Mohammed Z. D
Publié: (2017)
par: Shbier, Mohammed Z. D
Publié: (2017)
Modelling and forecasting volatile data by using ARIMA and GARCH models
par: Miswan, Nor Hamizah
Publié: (2013)
par: Miswan, Nor Hamizah
Publié: (2013)
Symmetric and asymmetric garch models for forecasting the prices of gold
par: Pung, Yean Ping
Publié: (2013)
par: Pung, Yean Ping
Publié: (2013)
Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
par: Mahpol, Khairil Asmani
Publié: (2005)
par: Mahpol, Khairil Asmani
Publié: (2005)
A hybrid of bekk garch with neural network for modeling and forecasting time series
par: Pung, Yean Ping
Publié: (2021)
par: Pung, Yean Ping
Publié: (2021)
A hybrid multivariate time series m odel for forecasting m eteorological data in peninsular malaysia
par: Norrulashikin, Siti Mariam
Publié: (2018)
par: Norrulashikin, Siti Mariam
Publié: (2018)
A hybrid Box-Jenkins and decomposition model drought forecasting in Kuala Terengganu
par: Ho, Mee Chyong
Publié: (2013)
par: Ho, Mee Chyong
Publié: (2013)
A hybrid Box-Jenkins and decomposition model for drought forecasting in Kuala Terengganu
par: Ho, Mee Chyong
Publié: (2013)
par: Ho, Mee Chyong
Publié: (2013)
Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data
par: Efendi , Riswan
Publié: (2010)
par: Efendi , Riswan
Publié: (2010)
Forecasting Stock Market Volatility Using Wavelet Transformation Algorithm Of Garch Model
par: Audu, Buba
Publié: (2017)
par: Audu, Buba
Publié: (2017)
Modelling and forecasting the predictability of stock market return in asian countries by using hybrid arima-garch models
par: Siow, Kent Woh
Publié: (2020)
par: Siow, Kent Woh
Publié: (2020)
Time arrival in series forecasting model for tourist National Park Kuala Tahan, Pahang
par: Megat Muhammad Afif, Megat Muainuddin
Publié: (2021)
par: Megat Muhammad Afif, Megat Muainuddin
Publié: (2021)
Forecasting natural rubber production in Malaysia: box-jenkins vs artificial neural network method / Liyana Husna Shamsudin and Nur Fadhliana Ithnin
par: Shamsudin, Liyana Husna, et autres
Publié: (2018)
par: Shamsudin, Liyana Husna, et autres
Publié: (2018)
Parameter estimation of box-jenkins model using genetic algorithm
par: Rusdi, Nur'afifah
Publié: (2013)
par: Rusdi, Nur'afifah
Publié: (2013)
Implementation of genetic algorithm in model identification of box-jenkins methodology
par: Md. Maarof, Mohd. Zulariffin
Publié: (2013)
par: Md. Maarof, Mohd. Zulariffin
Publié: (2013)
Implementation of genetic algorithm in model identification of box-jenkins methodology
par: Md. Maarof, Mohd. Zulariffin
Publié: (2013)
par: Md. Maarof, Mohd. Zulariffin
Publié: (2013)
A Hybrid Markov Switching Garch Model Approach For Improving Volatility Dynamics
par: Hossain, Md Jamal
Publié: (2021)
par: Hossain, Md Jamal
Publié: (2021)
Pembentukan Model Stokastik Box-Jenkins dan Aplikasi dalam Industri Utiliti
par: Syariza, Abdul Rahman
Publié: (2003)
par: Syariza, Abdul Rahman
Publié: (2003)
The enhanced group method of data handling models for time series forecasting
par: Samsudin, Ruhaidah
Publié: (2012)
par: Samsudin, Ruhaidah
Publié: (2012)
Multivariate time series modelling of taxes revenue in Nigeria
par: Baba Gimba, Alhassan
Publié: (2022)
par: Baba Gimba, Alhassan
Publié: (2022)
Symmetric and asymmetric garch models for forecasting the prices of gold
par: Pung, Yean Ping
Publié: (2013)
par: Pung, Yean Ping
Publié: (2013)
Time horizon volatility forecasting of Malaysian property stocks
par: Gooi, Leong Mow
Publié: (2019)
par: Gooi, Leong Mow
Publié: (2019)
The comparative forecast performance of univariate and multivariate model: an application to time series forecasting
par: Sallehuddin, Roselina, et autres
Publié: (2009)
par: Sallehuddin, Roselina, et autres
Publié: (2009)
Improved models in fuzzy time series for forecasting
par: Sadaei, Hossein Javedani
Publié: (2013)
par: Sadaei, Hossein Javedani
Publié: (2013)
Generalised Autoregressive Conditional Heteroscedasticity (Garch) Models For Stock Market Volatility
par: Choo, Wei Chong
Publié: (1998)
par: Choo, Wei Chong
Publié: (1998)
Application of Arima and Garch models in forecasting crude oil prices
par: Lee, Chee Nian
Publié: (2009)
par: Lee, Chee Nian
Publié: (2009)
Hybridization of nonlinear and linear models for time series forecasting
par: Salleh@Sallehuddin, Roselina
Publié: (2010)
par: Salleh@Sallehuddin, Roselina
Publié: (2010)
Role of high-frequency data, distribution assumption and trading volume in volatility forecasting in China stock market
par: Liu, Min
Publié: (2021)
par: Liu, Min
Publié: (2021)
Error magnitude and directional accuracy for time series forecasting evaluation
par: Nor, Maria Elena
Publié: (2014)
par: Nor, Maria Elena
Publié: (2014)
Detecting Structural Break In
Commodity Time Series Data
par: Jatarona , Nurul Najwa
Publié: (2010)
par: Jatarona , Nurul Najwa
Publié: (2010)
Combining group method of data handling models using artificial bee colony algorithm for time series forecasting
par: Yahya, Nurhaziyatul Adawiyah
Publié: (2019)
par: Yahya, Nurhaziyatul Adawiyah
Publié: (2019)
Comparative performance of ARIMA and GARCH models in modelling and forecasting volatility of Kuala Lumpur composite index / Hasma Basyirah Bakar , Nik Sofiah Nik Rusdi and Nurul Athirah Rushdi
par: Bakar, Hasma Basyirah, et autres
Publié: (2019)
par: Bakar, Hasma Basyirah, et autres
Publié: (2019)
Combine holts winter and support vector machines in forecasting time serie
par: Alfa, Mohammed Salisu
Publié: (2013)
par: Alfa, Mohammed Salisu
Publié: (2013)
Combine holts winter and support vector machines in forecasting time series
par: Salisu, Alfa Mohammed
Publié: (2013)
par: Salisu, Alfa Mohammed
Publié: (2013)
Time series modeling and designing and artificial neural network (ANN) for revenue forecasting
par: Mohd Yusof, Norfadzlia
Publié: (2006)
par: Mohd Yusof, Norfadzlia
Publié: (2006)
Developing defuzzifying method of fuzzy time-variant series for forecasting product demand
par: Saeed, Akbarnatajbisheh
Publié: (2013)
par: Saeed, Akbarnatajbisheh
Publié: (2013)
Time series forecasting of airline passenger no-shows using fir neural network
par: Muhammad Hussein, Muhammad Zaly Shah
Publié: (2002)
par: Muhammad Hussein, Muhammad Zaly Shah
Publié: (2002)
Time series modeling and designing of artifical neural network (ANN) for revenue forecasting
par: Mohd. Yusof, Norfadzlia
Publié: (2005)
par: Mohd. Yusof, Norfadzlia
Publié: (2005)
Measuring, Monitoring And Forecasting System For
Carbon Monoxide Concentrations
par: Raji, Usharani
Publié: (2005)
par: Raji, Usharani
Publié: (2005)
Neuromorphic learning machine based on stochastic reservoir computing for time series data processing and classification
par: Saw, Chia Yee
Publié: (2023)
par: Saw, Chia Yee
Publié: (2023)
Documents similaires
-
SWGARCH : an enhanced GARCH model for time series forecasting
par: Shbier, Mohammed Z. D
Publié: (2017) -
Modelling and forecasting volatile data by using ARIMA and GARCH models
par: Miswan, Nor Hamizah
Publié: (2013) -
Symmetric and asymmetric garch models for forecasting the prices of gold
par: Pung, Yean Ping
Publié: (2013) -
Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
par: Mahpol, Khairil Asmani
Publié: (2005) -
A hybrid of bekk garch with neural network for modeling and forecasting time series
par: Pung, Yean Ping
Publié: (2021)